An improved K-nearest-neighbor algorithm for text categorization

• Main Authors: JIANG, Shengyi, PANG, Guansong, WU, Meiling, KUANG, Limin
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2012
• Subjects: Text categorization; KNN text categorization; One-pass clustering; Spam filtering; Databases and Information Systems; Theory and Algorithms
• Online Access: https://ink.library.smu.edu.sg/sis_research/7542; https://ink.library.smu.edu.sg/context/sis_research/article/8545/viewcontent/1_s2.0_S0957417411011511_main.pdf
• Institution: Singapore Management University

Text categorization is a significant tool to manage and organize the surging text data. Many text categorization algorithms have been explored in previous literatures, such as KNN, Naive Bayes and Support Vector Machine. KNN text categorization is an effective but less efficient classification metho...